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Relativity Space

Software Engineer I

Long Beach, California, United StatesFrom $173kfull-timeentryAdded today

About this role

Join Relativity Space's Factory Platform team as a Full Stack Software Engineer I, building applications that power design and manufacturing operations for the Terran R rocket. You'll develop end-to-end solutions spanning data pipelines, backend systems, and intuitive frontends that help engineers make faster decisions and automate critical workflows.

What you'll do

  • Build full-stack applications supporting design and manufacturing engineers across the company
  • Develop data pipelines and automation tools that process telemetry from test stands and manufacturing systems
  • Create dashboards and tools that provide real-time visibility into production and supply chain operations
  • Participate in the complete software development lifecycle from requirements gathering through deployment and iteration
  • Work across front-end, back-end, and data layers to connect systems and streamline workflows
  • Collaborate with cross-functional teams including design engineers, manufacturing operators, and test engineers

What they're looking for

  • Full-stack web development with modern frameworks and languages
  • Data structures and algorithms
  • Backend development and API design
  • Frontend development and responsive UI
  • Data pipelines and processing
  • Software testing and code quality practices
  • Agile development methodologies
  • Systems thinking and problem-solving
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Relativity Space

Relativity Space develops the Terran R reusable rocket and is hiring engineers to design, manufacture, and launch it. The company seeks Manufacturing Engineers, Launch Integration Engineers, Vehicle Structures Engineers, and Avionics Hardware Engineers to work on critical flight systems, production processes, and launch operations at Cape Canaveral.

View all jobs at Relativity Space

Likely interview questions

  • Describe a full-stack project you've built from scratch—what was your approach to the architecture and why did you make those technology choices?
  • Walk us through how you would approach building a data pipeline to process streaming telemetry from manufacturing equipment and surface insights to engineers.